SOTAVerified

Image Generation

Image Generation (synthesis) is the task of generating new images from an existing dataset.

  • Unconditional generation refers to generating samples unconditionally from the dataset, i.e. $p(y)$
  • Conditional image generation (subtask) refers to generating samples conditionally from the dataset, based on a label, i.e. $p(y|x)$.

In this section, you can find state-of-the-art leaderboards for unconditional generation. For conditional generation, and other types of image generations, refer to the subtasks.

( Image credit: StyleGAN )

Papers

Showing 45264550 of 6689 papers

TitleStatusHype
On Investigating the Conservative Property of Score-Based Generative ModelsCode0
Personalizing Text-to-Image Generation via Aesthetic GradientsCode2
All are Worth Words: A ViT Backbone for Diffusion ModelsCode3
Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models0
MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust ClassifierCode0
Implementing and Experimenting with Diffusion Models for Text-to-Image GenerationCode0
Poisson Flow Generative ModelsCode2
Improving GANs with A Dynamic Discriminator0
Exploiting Cultural Biases via Homoglyphs in Text-to-Image SynthesisCode1
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model0
MoVQ: Modulating Quantized Vectors for High-Fidelity Image GenerationCode5
Can segmentation models be trained with fully synthetically generated data?0
Towards Bridging the Performance Gaps of Joint Energy-based ModelsCode0
Exploring StyleGAN Latent Space for Face Alignment with Limited Training Data0
One-Shot Synthesis of Images and Segmentation MasksCode1
Langevin Autoencoders for Learning Deep Latent Variable ModelsCode0
DEANet: Decomposition Enhancement and Adjustment Network for Low-Light Image Enhancement0
Weakly-Supervised Stitching Network for Real-World Panoramic Image Generation0
StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story ContinuationCode0
3DFaceShop: Explicitly Controllable 3D-Aware Portrait GenerationCode2
Soft Diffusion: Score Matching for General Corruptions0
Use Classifier as GeneratorCode0
Improved Masked Image Generation with Token-Critic0
Pathology Synthesis of 3D-Consistent Cardiac MR Images using 2D VAEs and GANsCode0
Generative Deformable Radiance Fields for Disentangled Image Synthesis of Topology-Varying Objects0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Improved DDPMFID12.3Unverified
2ADMFID11.84Unverified
3BigGAN-deepFID8.1Unverified
4Polarity-BigGANFID6.82Unverified
5VQGAN+Transformer (k=mixed, p=1.0, a=0.005)FID6.59Unverified
6MaskGITFID6.18Unverified
7VQGAN+Transformer (k=600, p=1.0, a=0.05)FID5.2Unverified
8CDMFID4.88Unverified
9ADM-GFID4.59Unverified
10RINFID4.51Unverified
#ModelMetricClaimedVerifiedStatus
1PresGANFID52.2Unverified
2RESFLOWFID48.29Unverified
3Residual FlowFID46.37Unverified
4GLF+perceptual loss (ours)FID44.6Unverified
5ProdPoly no activation functionsFID40.45Unverified
6ProdPoly no activation functionsFID36.77Unverified
7ACGANFID35.47Unverified
8DenseFlow-74-10FID34.9Unverified
9NVAE w/ flowFID32.53Unverified
10QSNGANFID31.97Unverified
#ModelMetricClaimedVerifiedStatus
1GLIDE + CLSFID30.87Unverified
2GLIDE + CLIPFID30.46Unverified
3GLIDE + CLS-FREEFID29.22Unverified
4GLIDE + CLIP + CLS + CLS-FREEFID29.18Unverified
5PGMGANFID21.73Unverified
6CLR-GANFID20.27Unverified
7FMFID14.45Unverified
8CT (Direct Generation, NFE=1)FID13Unverified
9CT (Direct Generation, NFE=2)FID11.1Unverified
10GLIDE +CLSKID7.95Unverified